Join Ron Davis for an in-depth discussion in this video Business problems for data mining, part of Learning Excel Data-Mining.
- Business problems for data mining.…Data mining techniques can be used in…virtually all business applications,…answering most types of business questions.…With the availability of software today, all an…individual needs is the motivation and the know-how.…Gaining this know-how is a tremendous…advantage to anyone's career.…Generally speaking, data mining…techniques can be applied whenever…something that could be known is not.…Recommendation generation.…So, the management is wondering…what products or services should your…company offer to your customers?…These questions are critically important to any…business, are a constant challenge for retailers,…service providers, manufacturers, etcetera.…
Often customer surveys provide us with…little relevant information because few…customers actually fill out surveys and…those that do often need to be motivated…by something, such as a giveaway.…The answer to surveys are seldom…well thought out and furthermore, properly…framing questions to surveys is very difficult…and requires a high degree of expertise.…
- Recognize the factors involved in building an environment.
- Define models, induction, and prediction.
- Determine key concepts in Excel data-mining.
- Analyze key influencers.
- Break down how to utilize the detect categories tool.
- Recognize where and when to use the Shopping Basket Analysis.
Skill Level Intermediate
Querying Microsoft SQL Server 2012with Gerry O'Brien5h 34m Beginner
Cleaning Up Your Excel 2013 Datawith Dennis Taylor1h 59m Intermediate
1. Data-Mining Concepts
2. The Microsoft Data-Mining Algorithms
The Microsoft algorithms3m 32s
3. Data Mining between Excel and SQL Server Analysis Services
Understanding mining models2m 33s
4. Using the Data-Mining Add-ins in Excel
Next steps2m 32s
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